Dr. P. A. Karthick
Assistant Professor


Publications

Patents


Publications

Peer-Reviewed Journals

  1. Vinothini S; Punitha N; Karthick P.A; Ramakrishnan S, Cyclostationary Analysis of Uterine EMG Measurements for the Prediction of Preterm Birth" Biomedical Engineering Letters, 2024.
  2. Punitha N, Divya Bharathi K, Manuskandan S.R. and Karthick P.A., Analysis of Muscle Fatigue Progression using Geometric Features of Surface Electromyography Signals and Explainable XGBoost Classifier, Journal of Medical and Biological Engineering,
  3. Remya R. Nair, A. Karthick, Nagarajan Ganapathy, G. Venugopal, Surface electromyography based analysis of muscle fiber type variations in the lower limb muscles of sprinters using gray level transformed Morlet scalogram images and Haralick features, Biomedical Signal Processing and Control, Volume 93,2024.
  4. Mathew, Joseph, Natarajan Sivakumaran, and A. Karthick. “Variational Mode Decomposition based Moment Fusion for the Detection of Seizure Types from the Scalp EEG Measurements, IEEE Transactions on Instrumentation and Measurement, 2023 Accepted.
  5. Arunganesh, K., G. Nagarajan, N. Sivakumaran, and A. Karthick. "Recognition of Lower Limb Movements using Machine Learning Methods and Bispectral Maps of Wireless sEMG Measurements." IEEE Sensors Letters (2023).
  6. Mathew J, Sivakumaran N, Karthick P. A. Automated Detection of Seizure Types from the Higher-Order Moments of Maximal Overlap Wavelet Distribution. 2023 Feb 8;13(4):621.
  7. Selvaraju, V., Karthick, P. A., & Swaminathan, R. (2023). Detection of Preterm Birth from the Noncontraction Segments of Uterine EMG Using Hjorth Parameters and Support Vector Machine. Journal of Mechanics in Medicine and Biology, 2340014.
  8. Shib Banarjee, Karthick, and S.Ramakrishnan , Influence of Viscoelasticity on Dynamic Fatiguing Behavior of Muscle Using Myotonometry and Surface Electromyography Measurements, IEEE Transactions on Instrumentation and Measurement, (2022), 71,1-9.
  9. Selvaraju, Vinothini, Karthick P A, and Ramakrishnan Swaminathan. "Analysis of uterine electromyography signals using time-frequency based topological features for detection of preterm birth." Current Directions in Biomedical Engineering 7, no. 2 (2021): 867-870.
  10. Jero, S. Edward, K. Divya Bharathi, A. Karthick, and S. Ramakrishnan. "Muscle fatigue analysis in isometric contractions using geometric features of surface electromyography signals." Biomedical Signal Processing and Control 68 (2021).
  11. Divya Bharathi, P. A. Karthick, S. Ramakrishnan, 'Automated muscle fatigue detection using cyclostationarity based geometric features from surface electromyography signals', Computer Methods in Biomechanics and Biomedical Engineering, (2021).
  12. Makaram, N., Karthick, P.A., Gopinath, V. and Swaminathan, R., 2021. Surface Electromyography-Based Muscle Fatigue Analysis Using Binary and Weighted Visibility Graph Features. Fluctuation and Noise Letters, 20(2), pp.2150016-56.
  13. Mathew, Joseph, N. Sivakumaran, and A. Karthick. "Detection of Seizure Types from the Wavelet Energy of Scalp EEG." Biomedical Sciences Instrumentation 57 (2021): 2.
  14. Navaneethakrishna,M., Karthick, and S.Ramakrishnan. ‘Analysis of Dynamics of EMG Signal Variations in Fatiguing Contractions of Muscles using Transition Network Approach’, IEEE Transactions on Instrumentation and Measurement, 70,1-8, (2021).
  15. Vinothini S, Punitha N, Karthick P.A., and Ramakrishnan S, "Automated detection of Preterm Condition using Uterine Electromyography based Topological Features", Biocybernetics and Biomedical Engineering, 41(1), 293-305, (2020), [Impact factor: 2.537]
  16. Divya Bharathi K, Karthick P.A., Ramakrishnan S., “Variational Mode Decomposition based Differentiation of Fatigue Conditions in Muscles using Surface Electromyography Signals”, IET Signal Processing, 14(10), 745-753, (2020), [Impact factor: 1.754]
  17. Karthick, P.A., Kai Rui Wan, Angela See An Qi, Justin Dauwels, and Nicolas Kon Kam King. "Automated detection of subthalamic nucleus in deep brain stimulation surgery for Parkinson’s disease using microelectrode recordings and wavelet packet features." Journal of Neuroscience Methods343 (2020): 108826, [Impact factor: 2.214]
  18. Karthick, P. A., Hideaki Tanaka, Hui Ming Khoo, and Jean Gotman. "Could we have missed out the seizure onset: A study based on intracranial EEG." Clinical Neurophysiology131, no. 1 (2020): 114-126, [Impact factor: 3.75, Citation: 3]
  19. Karthick, P.A., Hideaki Tanaka, Hui Ming Khoo, and Jean Gotman. "Prediction of secondary generalization from a focal onset seizure in intracerebral EEG." Clinical Neurophysiology129, no. 5 (2018): 1030-1040, [Impact factor: 3.75, Citation: 7]
  20. Karthick, P.A., Diptasree Maitra Ghosh, and S. Ramakrishnan. "Surface electromyography-based muscle fatigue detection using high-resolution time-frequency methods and machine learning algorithms." Computer Methods and Programs in Biomedicine154 (2018): 45-56, [Impact factor: 3.632, Citation: 39]
  21. Karthick, P.A., M. Navaneethakrishna, N. Punitha, AR Jac Fredo, and S. Ramakrishnan. "Analysis of muscle fatigue conditions using time-frequency images and GLCM features." Current Directions in Biomedical Engineering2, no. 1 (2016): 483-487, [Citation: 2].
  22. Karthick, P.A., and S. Ramakrishnan. "Surface electromyography-based muscle fatigue progression analysis using modified B distribution time–frequency features." Biomedical Signal Processing and Control 26 (2016): 42-51, [Impact factor: 3.137, Citation: 29]
  23. Karthick, P.A., G. Venugopal, and S. Ramakrishnan. "Analysis of muscle fatigue progression using cyclostationary property of surface electromyography signals." Journal of Medical Systems40, no. 1 (2016): 28, [Impact factor: 3.058, Citation: 18]
  24. Karthick, P.A., and S. Ramakrishnan. "Muscle fatigue analysis using surface EMG signals and time–frequency based medium-to-low band power ratio." Electronics Letters52, no. 3 (2015): 185-186, [Impact factor: 1.316, Citation: 13].
  25. Karthick, P.A., G. Venugopal, and S. Ramakrishnan. "Analysis of surface EMG signals under fatigue and non-fatigue conditions using B-distribution based quadratic time frequency distribution." Journal of Mechanics in Medicine and Biology15, no. 02 (2015): 1540028, [Impact factor: 0.859, Citation: 13].
  26. Karthick, P.A., G. Venugopal, and S. Ramakrishnan. "Differentiating Muscle Fatigue and Nonfatigue Conditions Using Surface EMG Signals and Zhao-Atlas-Marks Based Time-Frequency Distribution." Biomedical Sciences Instrumentation51 (2015): 115-121, [Citation: 5].
  27. Karthick, P.A., and S. Ramakrishnan. "Estimation of instantaneous median frequency in surface electromyography signals using quadratic time frequency distribution." Biomedical Sciences Instrumentation 50 (2014): 191-196.

 

Peer-Reviewed Conferences

  1. Selvaraju, V., PA, K. and Swmainathan, R., 2022, June. Spectral Correlation Density based Electrohysterography Signal Analysis for the Detection of Preterm Birth. In 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (pp. 1-5). IEEE.
  2. Arunganesh, K., Selvaraju, V., Sivakumaran, N., Kumaravel, S. and Karthick, P.A., 2022, June. Analysis of Corticomuscular Coherence between Motor Cortex Region and Tibialis Anterior Muscle Using Symbolic Transfer Entropy. In 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (pp. 1-6). IEEE.
  3. J. Shiva, N. Makaram, P. A. Karthick and R. Swaminathan, Analysis of Facial Electromyography Signals Using Linear and Non-Linear Features for Human-Machine Interface, 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC, (2021)
  4. Vinothini. S, Karthick, P.A. and Ramakrishnan, S., Analysis of uterine electromyography signals using time-frequency based topological features for detection of preterm birth,  55th Annual Conference of the German Society for Biomedical Engineering, 2021, Accepted.
  5. Joseph Mathew, Sivakumaran N., and Karthick, P.A., “Detection of Seizure Types from the Wavelet Energy of Scalp EEG”, 58th Annual Rocky Mountain Bioengineering Symposium (RMBS), 2021.
  6. Arun Ganesh K, Sivalumaran N, Karthick, P.A. and S. Kumaravel Analysis of Corticomuscular Coherence between Cortical and Lower Limb Muscle Activities.  58th Annual Rocky Mountain Bioengineering Symposium (RMBS), 2021.
  7. C. A. D’Souza, J. Shiva, K. Gobinath and P.A. Karthick, “Features Selection for Facial Emotion Recognition Improvement from Facial Electromyography”, 58th Annual Rocky Mountain Bioengineering Symposium, 2021.
  8. K. Divya Bharathi, P. A. Karthick, S. Ramakrishnan, 'Variation of instantaneous spectral centroid across bands of surface electromyographic signals', Rocky Mountain Bioengineering Symposium, 2021.
  9. J. Shiva, K. Gobinath, N. Makaram, P.A. Karthick and R. Swaminathan, "Recognition of Emotions from Time and Time-Frequency Features Using Facial Electromyography Signals," 58th Annual Rocky Mountain Bioengineering Symposium, 2021.
  10. J. Shiva, C. Sanjay, N. Makaram, P A Karthick and R. Swaminathan, Analysis of surface electromyography signals in fatigue conditions under dynamic contractions using time difference of muscle activations, IEEE Signal Processing in Medicine and Biology Symposium, Philadelphia, Pennsylvania, 2020.
  11. Divya Bharathi K, Karthick P.A., Ramakrishnan S., 'Geometric Features based Muscle Fatigue Analysis using Low Frequency Band in Surface Electromyographic signals' Asia-Pacific Signal and Information Processing Association, 2020, Auckland, New Zealand, Accepted, 2020
  12. Karthick, P.A., Kai Rui Wan, R. Yuvaraj, Angela AQ See, Nicolas Kon Kam King, and Justin Dauwels. "Detection of subthalamic nucleus using time-frequency features of microelectrode recordings and random forest classifier." In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 4164-4167, 2019
  13. N. Sivakumaran, Raji Sundarajan and P.A. Karthick, Analysis of Epileptic seizures using Electroencephalography signals and High-resolution time-frequency based features, Annual Meeting of the Electrostatics Society of America (ESA), 2019, USA.
  14. Edwards Jero, P. A. Karthick, and S. Ramakrishnan, Surface EMG Based Fatigue Index Estimation for Biceps Brachii Muscle with Polynomial Wigner-Ville Marginal Spectrum, 58th annual Rocky Mountain Bioengineering Symposium (RMBS), 2019.
  15. Karthick, P. A., Maitra Ghosh Diptasree, and S. Ramakrishnan. "Biceps Brachii Muscle Fatigue Progression Analysis Using Extended Modified B-distribution Based Time-frequency Features." CMBES Proceedings 40 (2017).
  16. P. A. Karthick, Navaneethakrishna M, Ramakrishnan S (2014), Analysis of Progression of Fatigue Conditions in Biceps Brachii Muscles Using Surface Electromyography Signals and Complexity Based Features, 36th Annual International IEEE EMBS Conference, Chicago.
  17. P. A. Karthick and S. Ramakrishnan (2014), Analysis of Fatigue Conditions in Biceps Brachii Muscles Using Surface Electromyography Signals and Strip Spectral Correlation, IEEE 19th International Conference on Digital Signal Processing, Hong Kong.
  18. Navaneethakrishnan, M., P. A. Karthick and S.Ramakrishnan (2015), Analysis of Biceps brachii sEMG signal using Multiscale Fuzzy Approximate Entrophy conditions, 37th  Annual International IEEE EMBS Conference, Italy.
  19. P. A. Karthick and S Ramakrishnan, Analysis of Muscle Fatigue Progression in Biceps Brachii Using Surface Electromyography Signals and Wavelet Packet Entropies, Frontiers in Neuroinformatics, DOI:10.3389/conf.fninf.2014.18.00048

 

PUBLICATION OF BOOK CHAPTERS

  1. Vinothini. S, Karthick, P.A., and Ramakrishnan. S, Analysis of Frequency Bands of Uterine Electromyography Signals for the Detection of Preterm Birth, Public Health and Informatics, IOS Press, ISBN 978-1-64368-184-9 (Print), 978-1-64368-185-6 (Online)
  2. J. Shiva, N. Makaram, P. A. Karthick and R. Swaminathan, "Emotion Recognition Using Spectral Feature from Facial Electromyography Signals for Human-Machine Interface" Public Health and Informatics, IOS Press, ISBN 978-1-64368-184-9 (Print), 978-1-64368-185-6 (Online)
  3. Arunganesh K, Sivakumaran N, Kumaravel S, and Karthick P. A., Analysis of EEG-EMG Coherence in Low Frequency Bands, Public Health and Informatics, IOS Press, ISBN 978-1-64368-184-9 (Print), 978-1-64368-185-6 (Online)
  4. P.A.Karthick, M.Joseph, N. Sivakumaran, and T. Toshihisa, Detection of Tonic-Clonic Seizures Using Scalp EEG of Spectral Moments, Springer Book on Biomedical Signal Based Computer-Aided Diagnosis of Neurological Disorders, Accepted.
  5. Arunganesh K, Sivakumaran N, Kumaravel S, and Karthick P. A, Analysis of Intramuscular Coherence of Lower Limb Muscles Activities Using Magnitude Squared Coherence, Springer Book on Biomedical Signal Based Computer-Aided Diagnosis of Neurological Disorders, Accepted.